210 lines
7.3 KiB
C++
210 lines
7.3 KiB
C++
/***************************************************************************************************
|
|
* Copyright (c) 2017-2021, NVIDIA CORPORATION. All rights reserved.
|
|
*
|
|
* Redistribution and use in source and binary forms, with or without modification, are permitted
|
|
* provided that the following conditions are met:
|
|
* * Redistributions of source code must retain the above copyright notice, this list of
|
|
* conditions and the following disclaimer.
|
|
* * Redistributions in binary form must reproduce the above copyright notice, this list of
|
|
* conditions and the following disclaimer in the documentation and/or other materials
|
|
* provided with the distribution.
|
|
* * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used
|
|
* to endorse or promote products derived from this software without specific prior written
|
|
* permission.
|
|
*
|
|
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR
|
|
* IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND
|
|
* FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE
|
|
* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
|
|
* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;
|
|
* OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,
|
|
* STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
|
|
* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
|
|
*
|
|
**************************************************************************************************/
|
|
/*! \file
|
|
\brief Templates exposing architecture support for multiply-add operations
|
|
*/
|
|
|
|
#pragma once
|
|
|
|
#include "cutlass/array.h"
|
|
#include "cutlass/numeric_types.h"
|
|
#include "cutlass/functional.h"
|
|
|
|
#include "cutlass/gemm/gemm.h"
|
|
#include "cutlass/arch/arch.h"
|
|
|
|
/////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
namespace cutlass {
|
|
namespace arch {
|
|
|
|
/////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
/// Tag indicating the operation implied by MMA.
|
|
struct OpMultiplyAdd;
|
|
|
|
/////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
/// Tag indicating the result is saturated to MAX_FLOAT|MIN_FLOAT or MAX_INT|MIN_INT
|
|
struct OpMultiplyAddSaturate;
|
|
|
|
/////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
/// Tag indicating the input is converted to a narrower type (BF16)
|
|
struct OpMultiplyAddFastBF16;
|
|
|
|
/////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
/// Tag indicating the input is converted to a narrower type (F16)
|
|
struct OpMultiplyAddFastF16;
|
|
|
|
/////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
/// Tag indicating the complex multiply-add operation
|
|
struct OpMultiplyAddComplex;
|
|
|
|
/////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
/// Tag indicating the gaussian complex multiply-add operation
|
|
struct OpMultiplyAddGaussianComplex;
|
|
|
|
/////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
/// Tag indicating the inner product is defined by (XOR, POPC)
|
|
struct OpXorPopc;
|
|
|
|
/////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
/// Tag classifying math operators as thread-level operations.
|
|
struct OpClassSimt;
|
|
|
|
/////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
/// Tag classifing operators as Tensor Core operations.
|
|
struct OpClassTensorOp;
|
|
|
|
/////////////////////////////////////////////////////////////////////////////////////////////////
|
|
/// Tag classifing operators as WMMA Tensor Core operations
|
|
struct OpClassWmmaTensorOp;
|
|
|
|
/////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
/// Matrix multiply-add operation
|
|
template <
|
|
/// Size of the matrix product (concept: GemmShape)
|
|
typename Shape_,
|
|
/// Number of threads participating
|
|
int kThreads_,
|
|
/// Data type of A elements
|
|
typename ElementA,
|
|
/// Layout of A matrix (concept: MatrixLayout)
|
|
typename LayoutA,
|
|
/// Data type of B elements
|
|
typename ElementB,
|
|
/// Layout of B matrix (concept: MatrixLayout)
|
|
typename LayoutB,
|
|
/// Element type of C matrix
|
|
typename ElementC,
|
|
/// Layout of C matrix (concept: MatrixLayout)
|
|
typename LayoutC,
|
|
/// Inner product operator
|
|
typename Operator
|
|
>
|
|
struct Mma;
|
|
|
|
/////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
/// Matrix multiply-add operation - specialized for 1x1x1x1 matrix multiply operation
|
|
template <
|
|
/// Data type of A elements
|
|
typename ElementA,
|
|
/// Layout of A matrix (concept: MatrixLayout)
|
|
typename LayoutA,
|
|
/// Data type of B elements
|
|
typename ElementB,
|
|
/// Layout of B matrix (concept: MatrixLayout)
|
|
typename LayoutB,
|
|
/// Element type of C matrix
|
|
typename ElementC,
|
|
/// Layout of C matrix (concept: MatrixLayout)
|
|
typename LayoutC,
|
|
/// Inner product operator
|
|
typename Operator_
|
|
>
|
|
struct Mma<gemm::GemmShape<1, 1, 1>, 1, ElementA, LayoutA, ElementB, LayoutB, ElementC, LayoutC, Operator_> {
|
|
|
|
using Shape = gemm::GemmShape<1, 1, 1>;
|
|
using Operator = Operator_;
|
|
|
|
CUTLASS_HOST_DEVICE
|
|
void operator()(
|
|
Array<ElementC, 1> &d,
|
|
Array<ElementA, 1> const &a,
|
|
Array<ElementB, 1> const &b,
|
|
Array<ElementC, 1> const &c
|
|
) {
|
|
|
|
multiply_add<ElementA, ElementB, ElementC> op;
|
|
|
|
d[0] = op(a[0], b[0], c[0]);
|
|
}
|
|
};
|
|
|
|
/////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
/////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
/// Specifies internal data type for computation
|
|
struct SPFormatType {
|
|
enum Kind {
|
|
Thread
|
|
};
|
|
};
|
|
|
|
/////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
/// Matrix multiply-add operation
|
|
template <
|
|
/// Size of the matrix product (concept: GemmShape)
|
|
typename Shape_,
|
|
/// Number of threads participating
|
|
int kThreads_,
|
|
/// Data type of A elements
|
|
typename ElementA,
|
|
/// Layout of A matrix (concept: MatrixLayout)
|
|
typename LayoutA,
|
|
/// Data type of B elements
|
|
typename ElementB,
|
|
/// Layout of B matrix (concept: MatrixLayout)
|
|
typename LayoutB,
|
|
/// Element type of C matrix
|
|
typename ElementC,
|
|
/// Layout of C matrix (concept: MatrixLayout)
|
|
typename LayoutC,
|
|
/// Inner product operator
|
|
typename Operator,
|
|
/// Specifies meta data format
|
|
SPFormatType::Kind SPFormat = SPFormatType::Thread
|
|
>
|
|
struct SparseMma;
|
|
|
|
} // namespace arch
|
|
} // namespace cutlass
|
|
|
|
/////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
//
|
|
// Specializations for each compute capability
|
|
//
|
|
|
|
#include "cutlass/arch/mma_sm50.h"
|
|
#include "cutlass/arch/mma_sm60.h"
|
|
#include "cutlass/arch/mma_sm61.h"
|
|
#include "cutlass/arch/mma_sm70.h"
|
|
#include "cutlass/arch/mma_sm75.h"
|
|
#include "cutlass/arch/mma_sm80.h"
|
|
#include "cutlass/arch/mma_sparse_sm80.h"
|
|
/////////////////////////////////////////////////////////////////////////////////////////////////
|